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On the characterisation of the time-of-flight VL53L5CX sensor by stmicroelectronics for indoor robotics applications

Abstract:
Miniaturised proximity Time-of-Flight (ToF) sensors are attractive for robotics applications due to their low cost, compact size, and low power consumption, which makes them suitable for direct distribution on the robot body. However, both the accuracy and the reliability of their measurements are influenced by operating conditions and target properties. These aspects are not fully investigated in the manufacturer’s datasheet, yet they play a crucial role in downstream robotic tasks. To address this gap, we mounted three VL53L5CX sensors, an Ambient Light Sensor, and a thermistor on a robotic manipulator in a controlled laboratory setup and executed a series of experiments to characterise sensor performance. Specifically, experiments were conducted to quantify sensor drift over time, the influence of ambient illumination under three office lighting conditions, within-frame beam variability, depth accuracy over the 20–800 mm range for different materials, orientation sensitivity at different distances, and an empirical signal-to-noise ratio. The results reveal a transient warm-up effect at startup, after which measurements stabilise, a near-linear range-dependent bias with substantially larger uncertainty for dark targets, limited within-frame variability, and an invalid measurement rate consistently below 10%. Overall, the VL53L5CX provides repeatable measurements, and the findings of this work can be leveraged to derive more faithful sensor models, apply range bias correction, and broaden the range of robotic applications.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3390/s26051639

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Green Templeton College
Role:
Author
ORCID:
0000-0003-1796-7472
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Brasenose College
Role:
Author
ORCID:
0000-0002-7588-9567


More from this funder
Grant:
101070310
Programme:
Research and Innovation Actions
More from this funder
Funder identifier:
https://ror.org/0439y7842
Grant:
2742381


Publisher:
MDPI
Journal:
Sensors More from this journal
Volume:
26
Issue:
5
Article number:
1639
Place of publication:
Switzerland
Publication date:
2026-03-05
Acceptance date:
2026-03-03
DOI:
EISSN:
1424-8220


Language:
English
Pubs id:
2388703
Local pid:
pubs:2388703
Source identifiers:
W7133624255
Deposit date:
2026-03-17
ARK identifier:

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